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Abstract Background/aim Conditioned media derived from Mesenchymal stem cells (MSC-CM) was suggested as a promising alternative cell-free regenerative therapy. It is hypothesized that the synergistic effect of MSC-CM with anticancer drugs may improve their antiproliferative and antimetastatic effects against cancer cells. Herein, the MSC-CM was impregnated with Wortmannin, a pan-PI3K/Akt/mTOR inhibitor, and their combined effect was investigated against breast cancer cells. Materials and methods To explore this, the cytotoxic, apoptotic, and autophagic potentials were assessed in luminal-A breast cancer cells (MCF-7). Results We found that incubation of MCF-7 to Wort-containing-CM induced apoptosis- and autophagy-mediated cell death, meanwhile prolonged exposure caused massive necrotic cell death. The involvement of MSC-CM effectively reduced Wortmannin IC50 observed in Wort-treated cells. Also, Wort-loaded-CM induced nuclear DNA fragmentation and reduced in vitro cell migration. These findings were associated with a Wort-dependent reduction in cell viability, the formation of the phosphorylated Akt and mTOR proteins, reduced the expression of mRNA, and downregulated the expression of the catalytic domain of phosphatidylinositol-4,5-bisphosphate 3-kinase (PI3K-Ca). Conclusion These findings revealed the promising antiproliferative and antimetastasis effects of combining pan-PI3K/Akt/mTOR inhibitors with MSC-derived-CM in breast cancer via the downregulation of PI3K/AKT/mTOR signaling pathways. Further studies are required to validate this chem-regenerative strategy in cancer treatment.

Abstract Document source identification in printer forensics focuses on determining the source printer of a document by analyzing characteristics such as printer model, serial number, defects, or unique artifacts. This is crucial in forensic investigations involving counterfeit documents or anonymous threats. However, identifying consistent patterns across different printers remains challenging, especially when perpetrators attempt to obscure these artifacts. Machine learning models in this field must identify discriminative features that differentiate printers while minimizing noise. In particular, choosing an appropriate distance metric for K-Nearest Neighbors (KNN) classifiers is critical and requires experimentation. This study proposes a quantum-inspired approach to improve KNN’s performance in printer source identification. By exploring alternative number of neighbors (K), quantum-inspired computing can optimize feature space calculations, even in noisy conditions. This allows the system to iteratively refine and select the optimal K value based on classification performance, ensuring that the best K is identified for the specific dataset and task. The system utilizes the Grey Level Co-occurrence Matrix (GLCM) for feature extraction, which is robust to changes in rotation and scale. Experimental results demonstrate that the Quantum-inspired KNN (QKNN) classifier outperforms classical KNN, achieving higher accuracy in identifying subtle printing artifacts, even under variable conditions.

Background: Prevalence of seropositivity following SARS-CoV-2 infection is vital in evaluating herd immunity. However, depending on illness severity, it remains unclear whether the breadth and magnitude of immune response to SARS-CoV-2 infection is for short or long term. Objective: To test the persistence of humoral antibody responses after SARS-CoV-2 exposure in patients with different illness severity and among volunteers who had been vaccinated. Methods: This study was conducted in two Saudi Arabian tertiary hospitals. Participants were categorized as critically ill COVID-19 patients, non-critically ill COVID-19 patients, or vaccinated volunteers. We collected demographic data, COVID-19 exposure history, symptoms, vaccination details, and serum samples to analyze antibody persistence. We evaluated SARS-CoV-2 antibody concentrations in COVID-19 patients with varying disease severity and age groups, as well as in BNT162b2-vaccinated individuals, focusing on IgG levels against the S.FL and S1 domains of the spike protein. Results: The study included 172 adults: 92 unvaccinated hospitalized COVID-19 patients and 80 vaccinated volunteers. All vaccinated subjects demonstrated seropositivity to the SARS-CoV-2 spike protein, with nearly 80% having a median antibody titer of 13,500 AU/mL. Notably, vaccinated subjects exhibited significantly higher IgG levels than naturally infected patients (P < 0.001), including higher S.FL and S1 titers, regardless of severity. Age, comorbidities, and previous infections influenced S-specific antibody levels. Among hospitalized patients, 58% required intensive care, with 28- and 90-day mortality rates of 23% and 43%, respectively. Conclusion: These findings shed light on the immune response dynamics following SARS-CoV-2 infection compared to vaccinated individuals, where the latter showed significantly higher level of antibodies response, providing crucial insights for evaluating short-term herd immunity and the effectiveness of natural infection-induced immunity.

Abstract Background Hydroxyapatite (HAP) resembles the components of biological hard tissue. Recent research has been interested in the biomedical application of HAP nanoparticles (HAP-NPs) in cancer treatment, HAP-NPs have high cytotoxic activity against cancerous cells, in addition, they are nontoxic to healthy normal cells, biocompatible, biodegradable, and have a high absorption rate within the tissue. Therefore, this study evaluated HAP-NPs' antitumoral activity in Ehrlich solid carcinoma (ESC)-bearing mice, in addition, we examined the anticancer efficacy of combined treatment of a common chemotherapeutic drug such as Cisplatin (CDDP) and HAP-NPs in ESC-bearing mice. Methods Forty female mice were inoculated with 200 µl of diluted ascites fluid containing approximately two million viable cancer cells in the mice's left thigh, after 14 days of inoculation, the mice were distributed into four groups: 10 mice in each. ESC group was administrated distilled water, the HAP-NPs group was treated orally with 100 mg/kg of hydroxyapatite nanoparticles, the CDDP group was administrated intraperitoneally with 5 mg/kg of Cisplatin, the HAP-NPs + CDDP group was treated with both doses of hydroxyapatite and cisplatin, the animal treatment was conducted for 20 days. Antitumor activity was assessed for two durations after 10 and 20 days. DNA damage assessment was performed using comet assay in ESC, in addition, we measured the expression of the following genes (P53, Bcl2, and Bax,) using quantitative real-time PCR, and the apoptotic-related proteins (P53 and Ki-67) using immunohistochemical analysis. A histopathological examination of ESC was performed. Results The obtained data illustrated a promising anticancer activity of HAP-NPs, and the combined treatment of HAP-NPs and CDDP illustrated a higher anticancer efficacy. HAP-NPs, CDDP, and HAP-NPs + CDDP resulted in significant (P

Abstract Recent reconnaissance geochemical investigations have unveiled Cryogenian magmatism linked to the compressional accretionary phase, contributing to the growth of the Afif Terrane in the eastern Arabian Shield. The Cryogenian Suwaj intrusive suite, within the Afif Terrane, displays a compositional range from gabbro-diorite to tonalite-granodiorite. The uniform compositional variation is primarily due to magmatic differentiation within parental magma across multiple pulses. The I-type calc-alkaline Suwaj granitoids represent arc-related juvenile materials resulting from the partial melting of a metabasaltic source. The geochemical characteristics of the Suwaj granitoids suggest typical adakite formation resulting from the melting of the basaltic portion of the young, hot oceanic slab. The age correlation between the Halaban ophiolite and the Suwaj Suite aligns with adakite formation in convergent margins. Tectonically, the Suwaj suite’s origin is attributed to the subduction of the Paleo-Ad-Dawadmi oceanic slab during microplate amalgamation, reflecting an integral part of the Arabian-Nubian Shield’s evolution, underscoring crustal thickening after arc collision.

Microgrid protection and ground fault management are critical aspects of modern power distribution systems, especially with the increasing integration of Distributed Generators (DGs) such as renewable energy sources. Effective protection schemes are essential to ensure the reliability, safety, and resilience of microgrids under various fault conditions. This study addresses a new advancement in microgrid protection and ground fault management. Firstly, the research integrates zero sequence components into the time-inverse characteristics of phase Overcurrent Relays (OCR) and creates a dynamic scheme between two group settings for phase and ground faults. This enhancement improves ground fault detection and provides robust backup for ground OCR, thereby enhancing the overall reliability of microgrid protection schemes. Secondly, the study demonstrates the use of Configurable Function Blocks (CFCs) in digital relays to dynamically adjust relay settings based on zero sequence current detection. This functionality optimizes relay performance under varying fault conditions, addressing mis-coordination issues in low-value ground fault scenarios at traditional OCR scheme and improving fault detection and clearance times. The proposed strategy is extensively validated through Hardware-in-the-Loop (HIL) testing, ensuring its feasibility and effectiveness in real-world scenarios. HIL testing confirms the practical applicability and robustness of the proposed protection scheme, enhancing its reliability. Finally, the study provides a comprehensive framework for the implementation of the proposed protection strategy in real-case protective relays. It includes a detailed methodology and validation process, offering practical guidance for operators to implement and optimize microgrid protection systems.

Abstract Background Klinefelter syndrome is considered one of the most common sex chromosome disorders affecting males. The presence of an extra X chromosome can alter the tendency to develop various cancers, including lymphomas. Lacrimal gland lymphoma is a disease of the elderly, with a median age of presentation of 70 years. Case presentation In this article, we report a case of a 35-year-old Arabian Saudi male with a known case of Klinefelter syndrome who presented to oculoplastic clinic complaining of progressively growing superior-temporal mass in the left eye. After evaluation and imaging, an incisional biopsy from the lacrimal gland mass was obtained and histopathological evaluation showed atypical lymphoproliferative infiltrate consistent with extranodal marginal zone lymphoma of mucosa associated lymphoid tissue. The mainstay treatment was external beam radiotherapy, which showed significant improvement in the case. Conclusion This is considered the first reported case of lacrimal gland lymphoma in young patient with Klinefelter syndrome, which increases the association between Klinefelter syndrome and lymphomas.

الملخص: أهداف البحث: يتزايد الانتشار العالمي لالتهاب الغدة الدرقية الهاشيموتو وسرطان الغدة الدرقية المتمايز، خاصة السرطان الحليمي، وتظهر الدراسات التي تقيم العلاقة بين هذه الأمراض نتائج متباينة. علاوة على ذلك، يظهر المرضى المصابون بالتهاب الغدة الدرقية الهاشيموتو معدل انتشار أعلى للخلايا غير محددة التشخيص مقارنة بغير المصابين. هدفت هذه الدراسة إلى تقييم التفاعل بين التهاب الغدة الدرقية الهاشيموتو وسرطان الغدة الدرقية المتمايز في المرضى الذين خضعوا لاستئصال الغدة الدرقية للعقد غير محددة التشخيص، وبحث دور تكرار الخزعة بالإبرة الدقيقة في العقد غير محددة التشخيص المصاحبة لالتهاب الهاشيموتو. طرق البحث: شملت هذه الدراسة الاستعادية 111 مريضا متتاليا خضعوا لاستئصال الغدة الدرقية للعقد غير محددة التشخيص على مدى أربع سنوات. تضمنت مقاييس النتائج المعلومات الديموغرافية، وعدد وتشخيصات الخزعة بالإبرة الدقيقة، واحتمال الخباثة، ومستويات الهرمون المحفز للغدة الدرقية في الدم، وخصائص الموجات فوق الصوتية وعلامات العدوانية، بما في ذلك الغزو اللمفي الوعائي، وامتداد الورم خارج الغدة الدرقية، ونقائل العقد اللمفاوية. النتائج: من بين المشاركين، كان 76.6% نساء و46.8% لديهم أمراض خبيثة. بشكل عام، لم يزد التهاب الغدة الدرقية الهاشيموتو من خطر الخباثة بناء على التشريح المرضي النهائي. ومع ذلك، زاد وجود التهاب الغدة الدرقية الهاشيموتو بشكل كبير من احتمال تشخيص السرطان الحليمي في الخزعة بالإبرة الدقيقة المتكررة (نسبة الأرجحية = 9.3؛ فترة الثقة 95%: 1.0-96.3). علاوة على ذلك، لوحظت علاقات مهمة بين العقد الخبيثة المصاحبة لالتهاب الهاشيموتو والعمر والجنس ونقائل العقد اللمفاوية والحواف الموجبة. الاستنتاجات: بشكل عام، لم يزد التهاب الغدة الدرقية الهاشيموتو من خطر الخباثة في التشريح المرضي النهائي للعقد غير محددة التشخيص، رغم أنه زاد من خطر التشخيص الخلوي للسرطان الحليمي في الخزعة المتكررة. نظرا لأن الدراسة اعتمدت على المجتمع المحلي، هناك حاجة لدراسات كبيرة متعددة المراكز للتحقق من النتائج. Abstract: Objectives: The global prevalence of Hashimoto's thyroiditis (HT) and differentiated thyroid cancer (DTC), particularly papillary thyroid cancer (PTC), is increasing. However, studies assessing correlations between these diseases have yielded inconsistent findings. Furthermore, patients diagnosed with HT show a higher prevalence of indeterminate cytology than those without HT. This study was aimed at assessing the interaction between HT and DTC in patients undergoing thyroidectomy for indeterminate thyroid nodules (ITNs), and investigating the role of repeated fine-needle aspiration cytology (FNAC) in ITNs with HT. Methods: This retrospective study enrolled 111 consecutive patients who underwent thyroidectomy for ITNs over a 4-year period. The outcome measures included demographic information; numbers and diagnoses of FNAC; risk of malignancy; serum thyroid-stimulating hormone levels; ultrasound features; and features of aggressiveness, including lymphovascular invasion, extrathyroidal extension and lymph node metastasis. Results: Among the participants, 76.6 % were women, and 46.8 % had malignant pathology. Overall, HT did not increase malignancy risk, according to the final histopathology. However, the presence of HT significantly increased the probability of a PTC diagnosis with repeated FNAC (odds ratio = 9.3; 95 % confidence interval: 1.0–96.3). Furthermore, significant correlations were observed between malignant nodules with HT and age, sex, lymph node metastasis and positive margins. Conclusions: Overall, HT did not increase malignancy risk in the final pathology of ITNs but did increase the risk of a cytological PTC diagnosis with repeated FNAC. Because this study was based in a local community setting, large, collaborative, multicenter studies are required to validate our findings.

Abstract Background Several tests have been suggested for screening and diagnosis of cervical spine and shoulder girdle conditions underlying shoulder pain with variable degrees of clinical accuracy. The present study aimed to test the reliability, clinical benefit and screening value of the Swimmer Arm-to-Shoulder (SAS) test; a new clinical test developed to differentiate shoulder impingement from cervical radiculopathy in patients with shoulder pain of ≤ 12 weeks. Methods The study included 718 patients aged 40–65 years, with unilateral and localized shoulder girdle pain lasting for ≤ 12 weeks. Diagnosis based on clinical, electromyography and radiological findings was considered as the reference gold standard for test assessment. Results Clinical diagnosis identified shoulder pathology in 288 patients (40.1%) and cervical spine pathology in 430 patients (59.9%). SAS test was positive in 274 patients (38.2%). The SAS test proved to be effective in distinguishing shoulder from cervical spine pathology with a sensitivity of 89.2% (95% CI: 85.0-92.6%), specificity of 96.1% (95% CI: 93.8–97.7%), PPV of 93.8% (95% CI: 90.5–96.0%), NPV of 93.0% (95% CI: 90.5–94.9%), LR + of 22.6% (95% CI: 14.1–36.0%), LR- of 0.11 (95% CI: 0.08–0.16) and accuracy of 93.3% (95% CI: 91.2–95.0%). Conclusions SAS test is an easy to perform, patient dependent and reliable as a screening test and diagnosis confirmatory test.

Abstract The study aimed to investigate the methods of individualized education and their relationship with the perceived self-efficacy levels among gifted students in Al-Ahsa city. Additionally, the study aimed to explore the differences among gifted students in individualized education methods and perceived self-efficacy levels according to gender and educational stage. The study sample consisted of 105 gifted students selected using stratified random sampling based on educational stage (middle, high) and gender (male, female). The correlational method was employed for the first objective, while the causal-comparative method was used for the second objective. The results revealed a significant positive correlation between individualized education methods and perceived self-efficacy levels. Furthermore, the results indicated no significant difference among gifted students in individualized education methods based on gender across all dimensions of the study. However, there was a significant difference among gifted students in the methods of individualizing education according to the stage of study in all dimensions of the methods of individualizing education scale and the scale as a whole, favoring the high stage. Furthermore, the results indicated that there was a difference among gifted students in perceived self-efficacy levels based on gender across all dimensions of the perceived self-efficacy scale and the scale as a whole, favoring males. However, there was no difference among gifted students in perceived self-efficacy levels based on educational stage in the first, third, and fourth dimensions and the scale as a whole. Meanwhile, there was a difference among gifted students in the second dimension, which is social interaction efficacy, favoring the high stage.

Abstract Background We aimed to study the impact of biological therapies in Saudi Arabia on patients with severe asthma (SA) combined with chronic rhinosinusitis (CRS) in terms of clinical outcomes. Methods This is a retrospective observational cohort research that was undertaken at the severe asthma clinics of the Armed Forces Hospital of the Southern Region (AFHSR) and King Khalid University Hospital, Abha, from March to September 2022 to delineate the effects of 3 biological therapies (dupilumab, benralizumab, and omalizumab) in adults with SA and concomitant CRS. Clinical outcomes assessed included asthma exacerbation frequency, hospitalization rates, use of oral corticosteroids (OCs), and the asthma control test (ACT) scores before and 1 year after biological therapies. Results Eighty patients were enrolled, with a mean age of 46.68. There were 45 (56%) females and 35 (44%) males. There was a notifiable decrease in the frequency of exacerbations and hospitalization and in the number of patients who received OCs after 6 and 12 months of biological therapies compared to pre-biological therapies, respectively (p

Abstract We prepared novel plasmon-coupled silver (Ag) and silver oxide (Ag2O) nanoparticles using green synthesis and a magnetic stirrer device from lemon juice. Firstly, we prepared six Ag samples from green tea and lemon juice, characterized by XRD, FTIR, UV, and HRTEM. We selected just two samples to apply to MDA-MB-231 cells. The samples entered the cell through endocytosis, showed moderate cytotoxicity and ROS levels, caused cell growth arrest at the G2M phase, exhibited higher inhibition of Cyclin D1, and induced early apoptosis. β-Catenin is an abundant protein in triple-negative breast cancer TNBC. Both samples showed inhibition of the β-catenin proteins pathway. Plasmon-coupled nanoparticles effectively inhibited β-catenin, physically capturing β-catenin and its pathway proteins, mimicking the action of a degradation protein complex due to their geometric properties. The prepared materials could be considered a promising treatment for TNBC that has not responded to chemotherapy and radiotherapy. As they have low toxicity to normal cells; this paves the way for new material designs without strict size limitations.

IntroductionViral infections can cause pneumonia, which is difficult to diagnose using chest X-rays due to its similarities with other respiratory conditions. Current pneumonia diagnosis techniques have limited accuracy. Novelty, of this research is developed a application of deep learning algorithms is essential in enhancing the medical infrastructure used in the diagnosis of chest diseases via the integration of modern technologies into medical devices.MethodsThis study presents a transfer learning approach, using MobileNetV2, VGG-16, and ResNet50V2 to categorize chest disorders via X-ray images, with the objective of improving the efficiency and accuracy of computer-aided diagnostic systems (CADs). This research project examines the suggested transfer learning methodology using a dataset of 5,863 chest X-ray images classified into two categories: pneumonia and normal. The dataset was restructured to 224 × 224 pixels, and augmentation techniques were used during the training of deep learning models to mitigate overfitting in the proposed system. The classification head was subjected to regularization to improve performance. Many performance criteria are typically used to evaluate the effectiveness of the suggested strategies. The performance of MobileNetV2, given its regularized classification head, exceeds that of the previous models.ResultsThe suggested system identifies images as members of the two categories (pneumonia and normal) with 92% accuracy. The suggested technique exhibits superior accuracy as compared to currently available ones regarding the diagnosis the chest diseases.DiscussionThis system can help enhance the domain of medical imaging and establish a basis for future progress in deep-learning-based diagnostic systems for pulmonary disorders.

The integration of distributed generators (DGs), particularly renewable energy sources, into conventional distribution networks (DNs) presents significant protection challenges. This study introduces a novel digital twins-based overcurrent relay (OCR) protection scheme with dynamic dual-level characteristic curves for microgrids. By utilizing advanced technologies such as digital-twin technology and hardware-in-the-loop (HIL) testing, the proposed scheme enhances fault management and relay coordination. Key contributions of this work include the integration of advanced technologies and dynamic OCR settings, using digital-twin technology and HIL testing to provide real-time insights and robust validation under practical conditions. Additionally, the research thoroughly examines protection strategies for both grid-connected and islanded modes, ensuring reliable operation during faults or grid failures. The study’s findings show substantial improvements over traditional OCR methods. The traditional OCR recorded a total tripping time of 14.87 s, while the dual-level OCR reduced it to 8.97 s. The results highlight the proposed scheme’s enhanced sensitivity, faster fault isolation capability, and overall superior performance, providing a robust and reliable protection scheme for modern power distribution systems. Further testing results for the digital-twin OCR, comparing both the digital simulation twin relay and the physical twin relay for the traditional single-level OCR scheme and the proposed dual-level scheme, provide valuable insights into the performance and reliability of these protection strategies. The close alignment between the simulation and physical results highlights the robustness and precision of the dual-level scheme.

Integrating Distributed Generators (DGs), particularly renewable energy sources such as wind systems, into traditional power network presents significant protection coordination challenges. This study introduces a new optimal coordination scheme for distance and double-Stage Overcurrent (OCR) characteristics relays, utilizing digital twin technology. The proposed dual-stage of OCR protection to enhance the efficacy of the coordination between distance relays and OCRs. By employing advanced digital twin models and Hardware-in-the-Loop (HIL) testing, the proposed scheme aims to enhance fault management and relay coordination for microgrids. The scheme’s effectiveness is evaluated using a reference power network (CIGRE radial and mesh network) with and without wind systems under various fault types and locations. The study demonstrates substantial improvements over traditional and modern dynamic distance relays coordination approaches, including a reduction in maximum tripping time from 0.85 s to 0.19 s with the dual-stage scheme. Comparative analysis of digital simulation and physical twin relays further validates the accuracy and robustness of the proposed scheme.

BackgroundWith the accelerated increase in the population of seniors aged 60 years or older in Saudi Arabia, understanding the utilization of senior residential care homes is crucial for improving service delivery and policy planning to meet the care transformation objectives of Vision 2030.ObjectiveTo assess the distribution and determinants of senior residential care home utilization across Saudi Arabia’s 13 administrative regions, focusing on predictors of functional dependency among different socio-demographic groups.MethodsThis study analyzed data from 283 Saudi individuals aged ≥65 admitted to social residential care homes in 2021. Variables included age, sex, education level, marital status, region, and reasons for service use. Statistical analyses comprised descriptive statistics, chi-square tests, independent t-tests, and multivariable logistic regression.ResultsThe Makkah region had the highest number of senior residential care home users (56.8%; p

Abstract Developing economical and high‐performing sensitizers is crucial in advancing dye‐sensitized solar cells (DSSCs) and optoelectronics. This research paper explores the potential of novel red light‐absorbing organic dyes based on Indolo[3,2‐b]carbazole (ICZ) as the donor applied in co‐sensitizer‐free DSSCs for breakthroughs in photovoltaic (PV) applications. DFT and TD‐DFT based computational methods were employed to calculate the conduction band levels, electron injection capabilities, and power conversion efficiency (PCE) of metal‐free organic dyes (ICZ1–ICZ9) having D‐A‐π‐A architecture. Comprehensive analyses included NBO, DOS, FMO, ICT, MEP, binding energy, and TDM analysis. Quantum chemical calculations of the structural, photochemical, and electrochemical properties, as well as the key parameters, reveals that all the designed dyes could be an excellent candidate for high‐efficiency DSSCs due the small energy gap (2.130–1.947 eV), longer wavelength absorption (759.47–520.63 nm), longer lifetimes (15.65–6.67 ns), a lower ΔGreg (0.29–0.14 eV), a significant dipole moment changes (31.489–16.195D), LHE (0.95‐0.46), the large qCT (0.962–0.689), small DCT (7.657, 4.897 Å), and VOC (1.13–0.86 eV). This quantum simulation showed that, when compared to reference D8, the photovoltaic dyes ICZ8, ICZ2, and ICZ7 are recognized as being eye‐catching. Furthermore, dye@(TiO2)9 cluster model results demonstrate promising prospects for enhancing the photovoltaic (PV) performance of ICZ1–ICZ9 dyes by electron injection and conduction band (CB) engineering. This study will help the experimentalists for developing ICZ‐based PVs as more efficient and sustainable energy solutions.

Abstract Background Academic achievement is essential for all students seeking a successful career. Studying habits and routines is crucial in achieving such an ultimate goal. Objectives This study investigates the association between study habits, personal factors, and academic achievement, aiming to identify factors that distinguish academically successful medical students. Methods A cross-sectional study was conducted at the College of Medicine, King Saud University, Riyadh, Saudi Arabia. The participants consisted of 1st through 5th-year medical students, with a sample size of 336. The research team collected study data using an electronic questionnaire containing three sections: socio-demographic data, personal characteristics, and study habits. Results The study results indicated a statistically significant association between self-fulfillment as a motivation toward studying and academic achievement (p = 0.04). The results also showed a statistically significant correlation between recalling recently memorized information and academic achievement (p = 0.05). Furthermore, a statistically significant association between preferring the information to be presented in a graphical form rather than a written one and academic achievement was also found (p = 0.03). Students who were satisfied with their academic performance had 1.6 times greater chances of having a high-grade point average (OR = 1.6, p = 0.08). Conclusion The results of this study support the available literature, indicating a correlation between study habits and high academic performance. Further multicenter studies are warranted to differentiate between high-achieving students and their peers using qualitative, semi-structured interviews. Educating the students about healthy study habits and enhancing their learning skills would also be of value.

Caffeine is a plant secondary metabolite, commonly known for its bioactivity properties. This molecule increases microbial activity during anaerobic digestion. The aim of this study was to determine the effects of caffeine doses on the rumen fermentation profile and nutrient digestibility when continuous culture fermenters were fed a lactating cow’s diet. We hypothesize that adding caffeine doses into continuous culture fermenters with a rumen fluid inoculum will not affect anaerobic fermentation or nutrient utilization. Fermenters were fed twice a day (at 0800 and 2000 h) with an experimental diet of high-producing dairy cows (53.55 g/DM day; Forage:Concentrate ratio, F:C of 40:60). Four levels of caffeine (0 ppm, 50 ppm, 100 ppm, and 150 ppm) were added to the diets as a treatment. The experiment was arranged in a randomized complete block design. Two blocks of four fermenters were run in two replicated periods of ten days. Statistical analyses were conducted in SAS version 9.4 for Windows (SAS Institute Inc., Cary, NC, USA) using the GLIMMIX procedure. The addition of caffeine at a 50 ppm dose on continuous culture fermentation decreased the protozoal counts (Diplodinium spp.) (p = 0.03) and ammonia concentrations (p < 0.05). A treatment of 50 ppm of caffeine increased the DM, OM, and starch digestibility (p < 0.05). When caffeine doses increased further than 50 ppm, the OM, DM, and starch digestibility decreased linearly (p = 0.01). The total volatile fatty acids and fatty acid proportions were unaffected. However, the acetate-to-propionate ratio (A:P) tended to decrease linearly among treatments (p = 0.07). The means of pH measurements and maximum pH had a significantly linear decrease effect (p < 0.01). Caffeine may represent a potential rumen fermentation modifier for use in lactating cow diets.

Abstract Background This study’s purposes were to evaluate the impact of biological therapies on outcomes in patients with severe asthma (SA) and chronic rhinosinusitis (CRS) and to compare these effects among those with NP (CRSwNP) versus those without NP (CRSsNP) in the “real-world” setting in Saudi Arabian patients. Methods From March to September 2022, a retrospective observational cohort study was undertaken at the severe asthma clinics of the Armed Forces Hospital—Southern Region (AFHSR) and King Khalid University Hospital, Abha, Saudi Arabia, to delineate the effects of dupilumab therapy. Outcomes were assessed, including clinical outcomes, FEV1, and laboratory findings before and one year after dupilumab. Post-therapy effects were compared between CRSwNP and CRSsNP. Results Fifty subjects were enrolled, with a mean age of 46.56. There were 27 (54%) females and 23(46%) males. Significant improvements in clinical parameters (frequency of asthma exacerbations and hospitalizations, the use of OCs, anosmia, SNOTT-22, and the ACT), FEV1, and laboratory ones (serum IgE and eosinophilic count) were observed 6 and 12 months after using dupilumab (p

The objectire of the present study was to investigate the effect of nutritional additive of associated phytogenic P.E.P. and organic acids supplemented in drinking water on their, blood parameters, lipid profile and intestinal histomorphology in broilers. For this purpose, 240 chicks (Ross-308) one-day old were divided randomly into 6 equal groups each group 40 chicks as follow. G1supplemented with( 0.015 cc Essential Oil (EO) with Aromatic Oil (AO) 0.5cc/L) , G2 add (AO 2cc/L) ,G3 was mix (EO 0.06cc with AO 1,5cc/L) ,G4(0.03 EO with1cc AO/L ,G5 0,12cc EO /L and control (G6) group was fed the basal diet ,the results of blood parameters were indicated significant (P≤0.05) increase in amount of WBC,RBCs, hemoglobin and PCV in groups 3, 4 and 5 compared with the control , also revealed significant increased (P≤0.05) of HDL-cholesterol concentration in G3 and G4 but decreased in triglyceride, total and low density lipid concentrations were influenced by the dietary treatments in G4,3,2 and VLDL in G3 and 5.also exposed significant (P≤0.05)increased in the height and thickness of villus and crypt depth in all parts of small intestine of G3,G4 and G5 compare to the control group. In conclusion the mix Essential Oil and Aromatic Oil supplementation to the broiler diet improve blood picture (RBCs .WBCs,Hb and PCV) and enhanced with maintenance the function of the small intestine .

Among various metal-organic frameworks (MOFs), the zeolitic imidazole framework (ZIF), constructed by the regular arrangement of 2-methylimidazole and metal ions, has garnered significant attention due to its distinctive crystals and pore structures. Variations in the sizes and shapes of ZIF crystals have been reported by changing the synthesis parameters, such as the molar ratios of organic ligands to metal ions, choice of solvents, and temperatures. Nonetheless, the giant ZIF-8 single crystals beyond the typical range have rarely been reported. Herein, we present the synthesis of millimeter-scale single crystal ZIF-8 using the solvothermal method in N,N-diethylformamide. The resulting 1-mm single crystal is carefully characterized through N2 adsorption-desorption isotherms, scanning electron microscopy, and other analytical techniques. Additionally, single-crystal X-ray diffraction is employed to comprehensively investigate the framework’s mobility at various temperatures.

Abstract In the current work, organic cyclopenta-thiophene (CPT) based derivatives (FICR and FICD1–FICD5) were designed by the modulation of end-capped acceptor group of the reference molecule i.e., FICR, to explore their nonlinear optical (NLO) response. The effect of terminal acceptor and donor groups in the tailored compounds was explored by using DFT based quantum calculations. The UV–Vis analysis, frontier molecular orbitals (FMOs), transition density matrix (TDM), natural bond orbitals (NBOs), density of states (DOS), nonlinear optical (NLO) analyses were performed at M06/6-311G(d,p) functional. The LUMO–HOMO band gaps of FICD1–FICD5 were found to be smaller (1.75–1.92 eV) comparative to FICR (1.98 eV). Moreover, the global reactivity parameters (GRPs) were correlated with the results of other analyses. FICD2 and FICD5 with lowest band gap 1.73 and 1.75 eV showed less hardness (0.86 and 0.87 eV, respectively), high softness (0.58 and 0.57 eV−1), and larger absorption spectrum (815 and 813 nm) in gaseous phase and (889 and 880 nm) in solvent phase among all entitled compounds. All the designed chromophores (FICD1–FICD5) demonstrated a significant NLO response as compared to FICR. Particularly, FICD2 and FICD5 exhibited the highest average linear polarizability () [2.86 × 10−22 and 2.88 × 10−22 esu], first hyperpolarizability (β tot) (8.43 × 10−27 and 8.35 × 10−27 esu) and second hyperpolarizability (γ tot) (13.20 × 10−32 and 13.0 × 10−32 esu) values as compared to the other derivatives. In nutshell, structural modeling of CPT based chromophores with extended acceptors, can be significantly utilized to achieve potential NLO materials.

This study investigated the combined effects of zinc oxide nanoparticles (Nano-Zn) and moringa leaf extract (MLE) on squash plants grown under water stress conditions in saline soil during 2021–2022. The research compared full irrigation (100% ETc) with water deficit conditions (60% ETc). While water deficit negatively impacted plant growth, yield, and various physiological parameters, the sequential application of Nano-Zn (at 50 or 100 mg L−1) with MLE (3%) significantly mitigated these adverse effects. The combined treatment proved more effective than individual applications, enhancing growth parameters, photosynthetic efficiency, and antioxidant systems. The treatment particularly improved stress tolerance by increasing protective compounds like soluble sugars and amino acids while reducing harmful H2O2 levels. The study concluded that sequential application of 100 mg L−1 Nano-Zn with MLE was optimal for enhancing squash performance under drought stress, with 50 mg L−1 Nano-Zn plus MLE as the second-best option.

Liver cancer is a prevalent form of carcinoma worldwide. A novel chitosan-coated optimized formulation capped with irradiated silver nanoparticles (INops) was fabricated to boost the anti-malignant impact of rosuvastatin calcium (RC). Using a 23-factorial design, eight formulations were produced using the solvent evaporation process. The formulations were characterized in vitro to identify the optimal formulation (Nop). The FTIR spectra showed that the fingerprint region is not superimposed with that of the drug; DSC thermal analysis depicted a negligible peak shift; and XRPD diffractograms revealed the disappearance of the typical drug peaks. Nop had an entrapment efficiency percent (EE%) of 86.2%, a polydispersity index (PDI) of 0.254, a zeta potential (ZP) of −35.3 mV, and a drug release after 12 h (Q12) of 55.6%. The chitosan-coated optimized formulation (CS.Nop) showed significant mucoadhesive strength that was 1.7-fold greater than Nop. Physical stability analysis of CS.Nop revealed negligible alterations in VS, ZP, PDI, and drug retention (DR) at 4 °C. The irradiated chitosan-coated optimized formulation capped with silver nanoparticles (INops) revealed the highest inhibition effect on carcinoma cells (97.12%) compared to the chitosan-coated optimized formulation (CS.Nop; 81.64) and chitosan-coated optimized formulation capped with silver nanoparticles (CS.Nop.AgNPs; 92.41). The bioavailability of CS-Nop was 4.95-fold greater than RC, with a residence time of about twice the free drug. CS.Nop has displayed a strong in vitro–in vivo correlation with R2 0.9887. The authors could propose that novel INop could serve as an advanced platform to improve oral bioavailability and enhance hepatic carcinoma recovery.

Using a 940nm diode laser or traditional methods, second-stage implant exposure involves removing soft tissue above the dental implant to expose the implant fixture and complete the implant procedure. This study included twenty-three patients (43.5% of whom were males, and the female percentage was 56.5%), aged between 18 and 70 years, who had at least two implants (3-6 months after implant insertion). Implant exposure was performed in case 1, using the traditional methods of puncture, flap, or incision, and in case 2, using a 940 nm diode laser. The study took place in Baghdad, Iraq. The results showed that the average pain in the laser group was 1.48, which was less than the average pain in the traditional group, which was 3.70. The pain scores that patients immediately reported for the laser cases were between 0 and 3, while the pain scores for the conventional cases were higher, ranging from 2 to 6. This was statistically significant in favour of the laser cases. All patients using the traditional method required infiltration anaesthesia, while 20 patients were satisfied with topical anaesthesia in the diode laser cases; this was statistically significant, favouring the laser method. This study revealed that the 940 nm diode laser is more efficient than the conventional method regarding the patient's perception of pain and the need for infiltration anaesthesia.

Grouper fish are among the most important components of the fisheries of many countries because they are found in warm water throughout the world. There are 15 genera and 159 species known worldwide; 8 genera and 66 species are exclusively found in the western Indian Ocean, Red Sea, and Arabian Gulf. The Summan grouper, Epinephelus summana, constitutes a considerable portion of these fisheries; therefore, this study aimed to evaluate the reproductive strategy of this important fish species. The fish samples were collected monthly for one year (from November 2020 to October 2021), and 217 fish were collected from the Red Sea of Jeddah, Saudi Arabia. The sex ratio, sexual maturation process, and spawning season were analyzed. Across all samples, landing consisted of 36.2 ± 4.7 % males, 64.0 ± 5.0 % females, and 3.4 ± 1.8 % transitional-stage fish, with an overall significantly different male-to-female sex ratio of 1:3.3. Furthermore, males were larger than females. The maturation index (MI), gonadosomatic index (GSI), and ovarian maturation rate (OMR) values fluctuated throughout the year, indicating that E. summana has extended spawning and spawns in batches during different months of the year. However, April to May is the main spawning season, with the highest female GSI recorded. Based on the microscopic histological examination of gonads, the maturation process can be classified into five stages in both males and females. In conclusion, this fish species has a complex reproductive biology. It undergoes sexual transformation and protogynous hermaphroditism, during which individuals mature first as female and then change sex to male. The obtained data is essential for successful fishery stock conservation, management, and aquaculture development.

Tailoring the surface structure of the mesoporous metal catalysts is pivotal for influencing both the catalytic activity and selectivity. Through the dealloying of bimetallic alloys, surface modification is achieved by dissolving unstable components, thereby forming a multitude of catalytically active sites. In this study, highly enhanced electrocatalysts are fabricated via chemical etching of mesoporous AuCu alloy nanoparticles prepared through the self‐assembly of micelles. The presence of large mesoporosity (>10 nm) with rich defect sites on the surface, along with the synergistic effect arising from the AuCu bimetallic alloy, effectively boosts electrocatalytic performance for the ethanol oxidation reaction. This strategy demonstrates a promising strategy to further enhance the catalytic performance of Au‐based mesoporous nanoparticles by eliminating the unstable metal component and refining the mesoporous structure with an abundance of various active sites.

We proposed a new computational methodology for computational modeling of mass transfer in membranes with application for molecular separation. The computational method centered on hybrid computational fluid dynamics (CFD) and machine learning (ML) in which the data of CFD are used for training machine learning model. The case study is a polymeric membrane for removing a solute from a solution, and the mass transfer equations are solved using CFD. Therefore, the data set has two inputs: r and z which are the coordinates. Also, the single output is C which indicates the solute concentration, and the quantity of data points is more than 8,000. The data analysis and modeling in this study were carried out utilizing the Adaboost (Adaptive Boosting) model. Essentially, this model requires a base model to be built, and in this case, we have chosen three models to build this model, namely Decision Trees (DT), Theil-Sen Regressions (TS), and Support Vector Regressions (SVR), and compared their results. The coefficient of determination (R2) of boosted DT, TS, and SVR are 0.9978, 0.9171, and 0.9908 respectively. Also, in terms of RMSE their error values were 3.96E + 01, 3.03E + 02, and 7.99E + 01. Finally, Boosted Decision Tree model is selected as the most accurate technique for the membrane simulation. The MAE metric for this model is 1.01E + 01 and its MAPE error rate is 9.07E-03.

In the current study, a series of A1–π–A2–π–A1 type bisisoindigo-based organic compounds (BTIND1–BTIND9) were designed via the structural tailoring of the reference compound (BTINR) at terminal acceptors for the organic solar cells (OSCs). Density functional theory (DFT) and time-dependent density functional theory (TD-DFT) approaches were utilized to estimate the influence of end-capped engineering over their photovoltaic properties of BTIND1–BTIND9. After their structural optimization, various analyses like, open circuit voltage (Voc), absorption spectra (λmax), frontier molecular orbitals (FMOs), density of states (DOS), binding energy (Eb) and transition density matrix (TDM) were performed at the B3LYP/6-311G(d,p) level. The band gaps range of the engineered molecules was observed as 1.776–1.649 eV, lesser than the BTINR reference (1.812 eV). Their TDM and DOS details further revealed electronic charge transfer in the designed derivatives. The higher λmax values were found in the visible and near-infrared regions i.e., 666.904–701.149 nm in the chloroform solvent and 661.778–895.581 nm in the gaseous phase. Furthermore, their open-circuit voltage (Voc) was determined with PTB7 donor polymer and showed significant values. Among all, BTIND5, BTIND7 and BTIND8 compounds were investigated with remarkable photovoltaic properties. These chromophores possessed least energy gaps (1.649, 1.668 and 1.664 eV) and bathochromic shifts (698.070, 699.646 and 701.149 nm) with least binding energies and prominent Voc results. The above-mentioned outcomes demonstrate that the end-capped modification of bisisoindigo-based molecule is an effective strategy to obtain highly efficient OSCs.

Background Assessment of the Arabic online patient-centered information is understudied. The study aims to assess the quality and readability of the Arabic web-based knowledge about dental extraction. Methods The first 100 Arabic websites focusing on dental extraction were gathered using popular terms from Google, Bing, and Yahoo searches. These sites were organized and their quality was assessed using three key standards: the Journal of the American Medical Association ( JAMA ) benchmark criteria, the DISCERN instrument, and the inclusion of the Health on the Net Foundation Code of Conduct (HON code) seal. Additionally, the ease of reading of these websites was evaluated through various online readability indexes. Results Out of 300 initially reviewed websites on dental extraction in Arabic, 80 met the eligibility criteria. Nonprofit organizations were most common (41.3%), followed by university/medical centers (36.3%), and commercial entities (21.3%). Government organizations were minimally represented (1.3%). All websites were medically oriented, with 60% offering Q&A sections. Quality assessment showed moderate scores on the DISCERN instrument, with no site reaching the highest score. JAMA benchmarks were poorly met, and none had the HON code seal. Readability was generally high, with most sites scoring favorably on readability scales. Conclusions The rapidly evolving online information about dental extraction lacks readability and quality and can spread misinformation. Creators should focus on clear, unbiased content using simple language for better public understanding.

Abstract The knowledge of proper fertigation across various irrigation levels is necessary for maximizing peanut yield and irrigation use efficiency in arid areas, and it also can effectively alleviate the risk of nutrient deficiency induced by water stress. This study evaluated the effectiveness of cobalt combined with two zinc application methods on peanut nutrient uptake, yield, and irrigation water use efficiency across varying irrigation levels. A split-split plot experiment was carried out in 2021 and 2022. Three peanut gross water requirement (GWR) levels (100%, 80%, and 60%) were designated for main plots. Subplots featured plants treated with either 0 or 7.5 mg L−1 of cobalt. The sub-sub plots assessed chelated zinc effects at rates of 0 and 2 g L−1 via foliar and soil applications. In comparison to the control (100% GWR), nutrient uptake decreased, with sodium being the exception, and there was an increase in soil pH at 60% GWR. The results showed also significant reductions in yield and water use by approximately 60.3% and 38.1%, respectively. At this irrigation level, applying zinc via soil, either alone or combined with cobalt, led to significant yield increases of 89.7% and 191.3% relative to the control. Also, it’s crucial to note that cobalt application negatively affected iron and copper at 60% GWR, but this impact was lessened with soil-applied zinc. Hence, under a similar circumstance, treating stressed peanut plants with additional foliar applications of iron + copper and applying zinc via soil, could enhance nutrient uptake and improve yield. On the other hand, at 80% GWR, a combination of foliar-applied zinc and cobalt, had a tremendous impact on the absorption of (nitrogen, phosphorus, magnesium, and zinc), resulting in enhanced agronomic traits and decreased water losses. Additionally, at this irrigation level, foliar zinc application alone yielded a 32.4% increase compared to the 80% GWR control. When combined with cobalt, there was a 70.0% surge in water use. Based on this knowledge, the study suggests using 80% GWR and treating peanut plants with a combination of foliar-applied zinc and cobalt. This strategy aids plants in countering the adverse effects of water stress, ultimately leading to enhanced yield and irrigation water use efficiency.

Abstract A novel design of a high‐frequency multiband with a circular polarisation antenna based on a four‐patch antenna system consolidated with an Archimedean spiral antenna for CubeSat applications. The geometry and size are compatible with the CubeSat standard structure dimensions of 10 × 10 cm2. The antenna consists of a spiral antenna in the middle of four patch antennas surrounding it; the first antenna structure consists of two sets of two orthogonal identical patch antennas with a 90° phase shift to cover the band from 1.55 to 1.94 GHz at L‐band, 2, 2.1, and 2.3 GHz at S‐band, the second antenna is an Archimedean spiral antenna to cover all C‐bands, all X‐bands, all Ku‐bands, all K‐bands, and from 26 to 29 GHz at Ka‐band. The measured results show that the reflection coefficients (S11) and (S22) achieve

Abstract This study aimed to investigate the effects of adding Nano-Selenium (NSe) and Nano-clay (NC) as feed supplements on European Sea Bass (Dicentrarchus labrax). Two separate experiments were conducted, one with NC and the other with NSe. Each experiment consisted of four sub-groups with varying concentrations of NC or NSe. The expression levels of five immune-related genes (TNF-α, TNF-β, IL-2, IL-6 and IL-12) were measured using Real-time Quantitative PCR (Rt-PCR) Assay. The results showed an increase in the expression of interleukins (IL-2, IL-6 and IL-12) and pro-inflammatory cytokines (TNF-α and TNF-β) after exposure to NC and NSe. TNF-α gene expression was significantly higher with both 1 mg and 10 mg concentrations of NC and NSe. TNF-β gene expression was highest with the 5 mg concentration of NC. The concentrations of 1 mg and 10 mg for NC, and 1 mg, 5 mg, and 10 mg for NSe, led to the highest (p

Abstract Background The educational process in the field of endodontics commences with preclinical exercises to enhance students’ proficiency in cleaning, shaping, and performing root canal fillings. Therefore, this study aimed to radiographically evaluate the technical quality of root canal fillings performed by preclinical students on extracted teeth at the College of Dentistry, University of Ha’il, Saudi Arabia. Methods A total of 788 extracted human teeth received root canal treatment by undergraduate students. The samples were then gathered and radiographically assessed using the three quality criteria of length, density, and taper. The category of root canal fillings was classified as either acceptable or unacceptable. The criteria for evaluating the acceptability of filling quality were defined based on the presence of adequate length, density, and taper. The effectiveness of root canal fillings was also evaluated in relation to the tooth type, sex, and treatment year. The agreement between the examiners was evaluated using Cohen’s kappa test, and the relationship between the research variables was determined using the chi-squared test. The significance threshold was set at 0. 05. Results The overall quality of root filling was determined to be satisfactory in 532 (67.5%) of 788 endodontically treated extracted teeth. The majority of the research sample (88.1%) had enough length, 89.6% had adequate density, and 86.4% had acceptable taper. The quality of anterior teeth was substantially better than that of posterior teeth (p

Mobile ad hoc networks (MANETs) face significant challenges in maintaining secure and efficient communication owing to their dynamic nature and vulnerability to security threats. Traditional routing protocols often struggle to adapt to rapidly changing topologies and potential malicious nodes, compromising network performance and security. This study addresses these challenges by proposing FLSTMT-LAR (Federated Learning Long Short-Term Memory Trust-aware Location-aided Routing), a novel framework that integrates multiobjective optimization with LSTM-based trust prediction for robust routing decisions, implements a decentralized federated learning mechanism for collaborative trust model updates while preserving node privacy, incorporates dynamic trust assessment using LSTM networks for accurate temporal behavior pattern analysis, and provides an adaptive routing decision mechanism that effectively balances multiple performance objectives including trustworthiness, energy efficiency, and network latency. We evaluate this framework against existing protocols across various scenarios, including different network densities, mobility patterns, and malicious node percentages. Results demonstrate FLSTMT-LAR’s superior performance in high-threat environments, achieving up to 80% packet delivery ratio compared with 45% for traditional approaches. In mobile scenarios, it shows improved adaptability, maintaining consistent performance as network density increases. MOO, particularly nondominated sorting genetic algorithm III, effectively balances conflicting network objectives, offering a 15% improvement in overall network performance compared with single-objective approaches. These findings highlight the potential of integrating advanced machine learning and optimization techniques in MANET routing protocols, paving the way for secure, efficient, and adaptive network communications in challenging environments.

Abstract Integration of distributed generation systems and diversity of microgrid operations led to a change in the structure of the power system. Due to this conversion, new challenges have arisen when employing traditional overcurrent protection schemes. As a consequence, non‐classical protection schemes have attracted significant attention in the last few years. Engineers and scholars have proposed different non‐standard methods to increase the power protection system and ensure the highly selectivity performance. Although the non‐standard characteristics and their requirements, in general, have been outlined and analyzed in the available literature, protection coordination based on voltage current–time inverse, as a branch of non‐standard optimization methods, has not yet been thoroughly discussed, compared, or debated in detail. To close this gap, this review introduces a broad overview of recent research and developments of the voltage current–time inverse based protection coordination. Focuses on assessing the potential advantages and disadvantages of related studies and provide a classification and analysis of these studies. The future trends and some recommendations have been included in this review for improving fault detection sensitivity and coordination reliability.

Abstract Vestibular schwannomas (VS) are benign tumors that lead to significant neurologic and otologic morbidity. How VS heterogeneity and the tumor microenvironment (TME) contribute to VS pathogenesis remains poorly understood. In this study, we perform scRNA-seq on 15 VS, with paired scATAC-seq (n = 6) and exome sequencing (n = 12). We identify diverse Schwann cell (SC), stromal, and immune populations in the VS TME and find that repair-like and MHC-II antigen-presenting SCs are associated with myeloid cell infiltrate, implicating a nerve injury-like process. Deconvolution analysis of RNA-expression data from 175 tumors reveals Injury-like tumors are associated with larger tumor size, and scATAC-seq identifies transcription factors associated with nerve repair SCs from Injury-like tumors. Ligand-receptor analysis and in vitro experiments suggest that Injury-like VS-SCs recruit myeloid cells via CSF1 signaling. Our study indicates that Injury-like SCs may cause tumor growth via myeloid cell recruitment and identifies molecular pathways that may be therapeutically targeted.

Objective: We investigated the potential relationship between endometriosis and risk of ovarian, endometrial, cervical, and breast cancers using the National Inpatient Sample (NIS) database. Methods: We utilized the International Classification of Diseases (ICD-10) system to identify relevant codes from the NIS database (2016–2019). Univariate and multivariate regression analyses (adjusted for age, race, hospital region, hospital teaching status, income Zip score, smoking, alcohol use, and hormonal replacement therapy) were conducted to evaluate the association between endometriosis and gynecologic cancers and summarized as odds ratios (ORs) with 95% confidence intervals (CIs). Results: In the examined dataset, there were 1164 and 225,323 gynecologic cancer patients with and without endometriosis, respectively. Univariate analysis showed endometriosis was significantly associated with a higher risk of ovarian (OR = 3.42, 95% CI: 3.05–3.84, p < 0.001) and endometrial (OR = 3.35, 95% CI: 2.97–3.79, p < 0.001) cancers. There was no significant association between endometriosis and cervical cancer (OR = 1.05, 95% CI: 0.85–1.28, p = 0.663). Interestingly, endometriosis was significantly associated with a low risk of breast cancer (OR = 0.12, 95% CI: 0.10–0.17, p < 0.001). Multivariate analysis after Bonferroni correction (p < 0.006) showed that endometriosis was significantly associated with a high risk of ovarian (adjusted OR = 3.34, 95% CI: 2.97–3.75, p < 0.001) and endometrial (adjusted OR = 3.61, 95% CI: 3.12–4.08, p < 0.001) cancers. Conversely, there was no significant association between endometriosis and cervical cancer (OR = 0.80, 95% CI: 0.65–0.99, p = 0.036). Conclusions: Patients with endometriosis exhibited unique gynecologic cancer risk profiles, with higher risks for ovarian and endometrial cancers, and no significant risk for cervical cancer. The observed connection between endometriosis and a reduced risk of breast cancer remains a perplexing phenomenon, which cannot be put into context to date.

Background: Obese individuals have a higher risk of degenerative disc disease (DDD). Currently, body mass index is not sensitive enough to differentiate between muscle and fat distribution, and obesity-related health issues are linked to the way body fat is distributed. Therefore, this study aims to investigate the association between the dorsal subcutaneous fat thickness (DSFT) of the lumbar spine, an alternative measurement tool of body fat distribution, and DDD. Methods: A total of 301 patients with DDD and 123 participants without the disease were recruited. Using length functions of magnetic resonance imaging (MRI) console, the DSFT of L1 to S1 intervertebral disc levels was measured in mid-sagittal spin-echo T2 weighted image. The Mann–Whitney U test and Chi-squared test (X2) were utilized to examine any variations between the case and control groups. Logistic regression models were built to explore the association of the DSFT with DDD. Results: The logistical regression model showed a positive association between DDD and DSFT [OR: 1.30, 95% CI: 1.02–1.64, p = 0.03]. In the stratified logistic regression analysis, a positive association was found between DDD and DSFT among younger participants and females [OR young: 1.48; 95% CI (1.02–2.20); p = 0.04—OR female: 1.37; 95% CI (1–1.88); p = 0.05]. Conclusions: Younger females with thicker DSFT at the L1–L2 level are more likely to develop DDD. This suggests that increased DSFT may be a contributing factor to DDD.

Social media platforms have allowed many people to publicly express and disseminate their opinions. A topic of considerable interest among researchers is the impact of social media on predicting the stock market. Positive or negative feedback about a company or service can potentially impact its stock price. Nevertheless, the prediction of stock market movement using sentiment analysis (SA) encounters hurdles stemming from the imprecisions observed in SA techniques demonstrated in prior studies, which overlook the uncertainty inherent in the data and consequently directly undermine the credibility of stock market indicators. In this paper, we proposed a novel model to enhance the prediction of stock market movements using SA by improving the process of SA using neutrosophic logic (NL), which accurately classifies tweets by handling uncertain and indeterminate data. For the prediction model, we use the result of sentiment analysis and historical stock market data as input for a deep learning algorithm called long short-term memory (LSTM) to predict the stock movement after a specific number of days. The results of this study demonstrated a predictive accuracy that surpasses the accuracy rate of previous studies in predicting stock price fluctuations when using the same dataset.

Cyberbullying is a social media network issue, a global crisis affecting the victims and society. Automatically identifying cyberbullying on social media has become extremely hard because of the complicated nature and intricate language employed within these platforms. The brevity and informal nature of text often results in ambiguous or unclear expressions, making it challenging to accurately interpret the intended meaning. Identifying cyberbullying becomes even more complex when faced with uncertain or contextually vague content. Presently, numerous approaches are available for cyberbullying detection, However, they continue to grapple with the challenge of distinguishing between various forms of cyberbullying-related hate speech due to its ambiguous and vague nature, and they also fall short in terms of accuracy. This paper proposes a novel approach to fine-grained cyberbullying classification by integrating Neutrosophic Logic within the Multi-Layer Perceptron (MLP) model. The proposed model enhances cyberbullying types by mitigating the challenges posed by the ambiguity and overlapping boundaries between distinct categories of cyberbullying. The incorporation of Neutrosophic Logic aims to address the uncertainty, ambiguity, and indeterminacy within classification decisions, offering a more comprehensive and flexible approach for handling complex classification scenarios. The model, leveraging the one-against-one strategy in MLP classification, captures complex relationships between various types of cyberbullying, due to the overlaps and ambiguous instances within cyberbullying types. The testing phase of this model emphasizes the significance of Neutrosophic Logic, employing class probabilities from multiple one-against-one classifiers to provide a comprehensive insight into classification outcomes. The results of the proposed model demonstrate the performance enhancement of incorporating Neutrosophic Logic for fine-grained cyberbullying classification tasks.

Mobile Ad Hoc Networks (MANETs) are dynamic networks without fixed infrastructure, making them particularly vulnerable to security threats such as black and gray hole attacks. As these attacks grow more sophisticated, advancing detection methods become critical. This survey critically evaluates existing detection techniques and identifies major gaps in current research. It focuses on a comprehensive classification and in-depth analysis of attack detection methods, particularly those employing advanced Machine Learning techniques. We adopt a structured approach, analyzing MANET characteristics and detailing black and gray hole attacks. The evaluation covers various detection and mitigation techniques, with a strong emphasis on the innovative use of ML and optimization methods like Federated Learning (FL), reinforcement learning, and metaheuristic algorithms. Our findings indicate that advanced ML techniques, especially Long Short-Term Memory (LSTM) networks and FL, significantly enhance detection accuracy and robustness against these attacks. We also discussed the potential of game theory and reinforcement learning for optimizing routing protocols and improving network resilience. The survey underscores the necessity for ongoing research into more sophisticated and adaptable detection mechanisms, urging both academic and practical communities to explore novel approaches for developing more secure, efficient MANET systems.

Uncertainty-aware soft sensors in sign language recognition (SLR) integrate methods to quantify and manage the uncertainty in their predictions. This is particularly crucial in SLR due to the variability in sign language gestures and differences in individual signing styles. Managing uncertainty allows the system to handle variations in signing styles, lighting conditions, and occlusions more effectively. While current techniques for handling uncertainty in SLR systems offer significant benefits in terms of improved accuracy and robustness, they also come with notable disadvantages. High computational complexity, data dependency, scalability issues, sensor and environmental limitations, and real-time constraints all pose significant hurdles. The aim of the work is to develop and evaluate a Type-2 Neutrosophic Hidden Markov Model (HMM) for SLR that leverages the advanced uncertainty handling capabilities of Type-2 neutrosophic sets. In the suggested soft sensor model, the Foot of Uncertainty (FOU) allows Type-2 Neutrosophic HMMs to represent uncertainty as intervals, capturing the range of possible values for truth, falsity, and indeterminacy. This is especially useful in SLR, where gestures can be ambiguous or imprecise. This enhances the model’s ability to manage complex uncertainties in sign language gestures and mitigate issues related to model drift. The FOU provides a measure of confidence for each recognition result by indicating the range of uncertainty. By effectively addressing uncertainty and enhancing subject independence, the model can be integrated into real-life applications, improving interactions, learning, and accessibility for the hearing-impaired. Examples such as assistive devices, educational tools, and customer service automation highlight its transformative potential. The experimental evaluation demonstrates the superiority of the Type-2 Neutrosophic HMM over the Type-1 Neutrosophic HMM in terms of accuracy for SLR. Specifically, the Type-2 Neutrosophic HMM consistently outperforms its Type-1 counterpart across various test scenarios, achieving an average accuracy improvement of 10%.

This study addresses the challenges of traditional date palm harvesting, which is often labor-intensive and hazardous, by introducing an innovative solution utilizing multirotor flying vehicles (MRFVs). Unlike conventional methods such as hydraulic lifts and ground-based robotic manipulators, the proposed system integrates a quadrotor equipped with a winch and a suspended robotic arm with a precision saw. Controlled remotely via a mobile application, the quadrotor navigates to targeted branches on the date palm tree, where the robotic arm, guided by live video feedback from integrated cameras, accurately severs the branches. Extensive testing in a controlled environment demonstrates the system’s potential to significantly improve harvesting efficiency, safety, and cost-effectiveness. This approach offers a promising alternative to traditional harvesting methods, providing a scalable solution for date palm cultivation, particularly in regions with large-scale plantations. This work marks a significant advancement in the field of agricultural automation, offering a safer, more efficient method for harvesting date palms and contributing to the growing body of knowledge in automated farming technologies.

Including dietary fat can increase the energy density of diets fed to ruminants, reducing dry matter intake (DMI). Effects of different fat sources on nutrient digestion and fermentation can vary depending on dietary fat concentration and the forage-to-concentrate ratio (F:C). Therefore, this study’s objective was to screen the effects of fat sources supplemented at different concentrations to high- and low-forage diets on in vitro digestibility and fermentation. Treatments included either low forage (LF; 35%) or high forage (HF; 70%) with two fat levels (6 or 9% DM) using six different fat sources, plus control. The control diet (CON) had a basal level of fat in the diet (3% fat; 0% fat inclusion), and fat sources were added to attain 6% or 9% dietary fat and consisted of the following: Coconut oil, CO; Poultry fat, PF; Palm oil, PO; Palm kernel oil, PKO; Soybean oil, SOY; and Ca Salts, MEG. In vitro Gas Production (GP) modules were randomly assigned to treatments in a 2 × 2 × 7 factorial design and were incubated for four 24 h runs. The CO-fed module had the highest dry matter (DM) apparent digestibility (AD) (p < 0.01), followed by SOY and PF. The true DM digestibility (TDMD) and organic matter (OM) AD were the highest in CO (p < 0.01) than the other fat types. The AD for DM, OM, neutral detergent fiber (NDF), and acid detergent fiber (ADF) was higher in LF (p < 0.01). The 6% fat inclusion had a higher GP (109 vs. 103 mL ± 2.09; p < 0.03). Total volatile fatty acid (VFA) concentration was lower in different fat types than the CON and the acetate molar proportion (p > 0.01). The propionate was the lowest for the CON, which increased the acetate to propionate (A:P) ratio (p < 0.01). These results suggest that LF diets with high fat concentrations can be utilized, and different fat sources may improve DM and fiber digestibility.

Abstract Chemoresistance and chemotherapy-related ovarian damage are well-reported in breast cancer (BC) young patients. Herein, the inhibition of the mitochondrial fission was invested to explore its chemosensitizing role in Paclitaxel (PTX)-resistant cells, and its ability to restore the ovarian integrity in mice receiving PTX or cisplatin chemotherapy. To establish these aims, PTX-resistance was generated in BC cells, which were treated with PTX in combination with Drp1 deficiency, via mdivi-1, or Drp1-specific siRNA transfection. Furthermore, the alterations in the ovarian structure and the endocrine-related hormones were explored in mice receiving repetitive doses of PTX or cisplatin. We found that combining PTX with mdivi-1 improved cell responsiveness to PTX, induced apoptosis- and autophagy-mediated cell death, and relieved cellular oxidative stress. Additionally, the expression of PCNA1 and cyclin B1 genes were downregulated, meanwhile, p53, p21, and mitochondrial fusion proteins (Mfu1&Mfu2) were increased. The in vivo investigations in mice demonstrated that PTX induced gonadotoxic damage similar to cisplatin, whereas dual treatment of mice with PTX+ mdivi-1 failed to restore their normal follicular count and the circulating levels of E2 and AMH hormones. These results suggested that combining Drp1 inhibition with PTX resensitized breast cancer cells to PTX but failed to offer enough protection against chemotherapy-related gonadotoxicity.

Introduction: Many cases of telogen effluvium (TE), acute hair shedding, following coronavirus disease 2019 (COVID-19) were reported during the pandemic. Methodology: We conducted a cross-sectional study to assess the relationship between COVID-19 and TE in Saudi Arabia. Self-administered online questionnaires were distributed online between March and September 2022 in Saudi Arabia. A multivariate logistic regression model was used to determine risk factors associated with TE post-COVID-19 (significance at P < 0.05). Results: Of the 703 responders, 392 were included in the study. 59.70% (n = 234) recognized hair shedding during or after COVID-19. The time taken to realize hair shedding (3 or 6 months) and the duration varied (3, 6, >6 months). The risk factors significantly related to TE post-COVID-19 were: female sex (P < 0.001, odds ratio [OR] = 2.98), COVID-19 antiviral treatment (P = 0.032, OR = 3.02), and TE history (P = 0.001, OR = 3.78). Conclusion: Healthcare providers and physicians should be aware of the relationship between TE and COVID-19, to easily recognize, treat, and improve their patients' outcomes).

Abstract In opto-electronics, non-fullerene (NF) derivatives are regarded as efficient non-linear optical (NLO) materials. The present investigation was based on designing NF naphthalene-based derivatives (PCMD1–D9) with D-π-A configuration from PCMR. DFT analysis at M06/6-311G (d,p) level was accomplished to explore the photonic behavior of PCMD1–D9 compounds. Various kind of analysis like; UV–Vis, density of state (DOS), natural bond orbitals (NBOs), transition density matrix (TDM) and frontier molecular orbitals (FMOs) analyses were accomplished to understand the NLO properties of said chromophores. The configuration change led to considerable charge distribution over highest occupied and lowest unoccupied molecular orbitals with minimum band difference. The energy gap trend for all the entitled compounds was observed as; PCMD8 ) and dipole moment (µ tot ) values were exhibited by PCMD5 at 2.712 × 10–22 . and 1.995 × 10–17 esu, respectively. PCMD8 push–pull configured molecular entity exhibited highest first hyper-polarizability (β tot ) at 4.747 × 10–27 esu and second hyper-polarizability at 6.867 × 10–32 esu. Overall, all the formulated chromophores exhibited significant NLO results contrary to PCMR. Hence, through this structural tailoring via various acceptors, effective NLO materials were obtained for optoelectronic applications.